Geodesic
A grid-computing based multi-camera tracking system for vehicle plate recognition
Kybernetika, Tome 42 (2006) no. 4, pp. 495-514.

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There are several ways that can be implemented in a vehicle tracking system such as recognizing a vehicle color, a shape or a vehicle plate itself. In this paper, we will concentrate ourselves on recognizing a vehicle on a highway through vehicle plate recognition. Generally, recognizing a vehicle plate for a toll-gate system or parking system is easier than recognizing a car plate for the highway system. There are many cameras installed on the highway to capture images and every camera has different angles of images. As a result, the images are captured under varied imaging conditions and not focusing on the vehicle itself. Therefore, we need a system that is able to recognize the object first. However, such a system consumes a large amount of time to complete the whole process. To overcome this drawback, we installed this process with grid computing as a solution. At the end of this paper, we will discuss our obtained result from an experiment.
Classification : 68G35, 68T45, 68U10, 68U35
Keywords: vehicle plate recognition; grid computing; recognition system; tracking system 
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     author = {Musa, Zalili Binti and Watada, Junzo},
     title = {A grid-computing based multi-camera tracking system for vehicle plate recognition},
     journal = {Kybernetika},
     pages = {495--514},
     publisher = {mathdoc},
     volume = {42},
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     year = {2006},
     zbl = {1249.68273},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/KYB_2006__42_4_a8/}
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Musa, Zalili Binti; Watada, Junzo. A grid-computing based multi-camera tracking system for vehicle plate recognition. Kybernetika, Tome 42 (2006) no. 4, pp. 495-514. http://geodesic.mathdoc.fr/item/KYB_2006__42_4_a8/